Begin by examining the data set. Recognize how the data is recorded and how you may be able to use the given data to explore potential relationships between categories.
Scatterplot Questions
1. Create a scatterplot using categories that you feel may influence fuel efficiency. Answer the following questions.
Identify the two categories you chose and why you thought there might be a relationship between the two BEFORE creating the scatterplot?
Answer: City MPG and horsepower
Create the scatterplot. Which category is your x-axis and which is your y-axis? Why did you create your scatterplot in that order?
Answer: X is city MPG because we wanted to see the impact of horsepower on City MPG.
Do you believe there is a relationship between the two categories? Why or why not?
Answer: Yes. Higher horsepower meand less city MPGs.
If there appears to be a relationship, does it have a positive or negative slope? What does this mean about the relationship between the two categories?
Answer: Negative slope. Greater horsepower yields less city MPG.
Regression Questions
Create the linear regession equation in Excel. Include both the equation and the r2 value on the graph. Answer the following questions.
What is your regression equation? Explain what the equation means in relation to the categories.
Answer:
What is your r2 value? Is this a strong correlation? Why or Why not?
Answer:
Based on all the information you have, can you make any conclusions about your two categories? If so, what conclusions can you make? If not, why not?
Answer:
Analysis
Right click on the regression equation and select "Format Trendline". Explore the different variations of regression equations.
How would you determine which equation had the best relationship?
Answer:
Was the "Linear" option the optimal option? If so, why? If not, what was the better equation and why?
Answer:
Attach your Scatter Plots and Regression Information. Make sure your X and Y axis are correctly labeled. You may use Screen Shots to do so.
Begin by examining the data set. Recognize how the data is recorded and how you may be able to use the given data to explore potential relationships between categories.
Scatterplot Questions
1. Create a scatterplot using categories that you feel may influence fuel efficiency. Answer the following questions.
Answer: City MPG and horsepowerIdentify the two categories you chose and why you thought there might be a relationship between the two BEFORE creating the scatterplot?
Answer: X is city MPG because we wanted to see the impact of horsepower on City MPG.Create the scatterplot. Which category is your x-axis and which is your y-axis? Why did you create your scatterplot in that order?
Answer: Yes. Higher horsepower meand less city MPGs.Do you believe there is a relationship between the two categories? Why or why not?
Answer: Negative slope. Greater horsepower yields less city MPG.If there appears to be a relationship, does it have a positive or negative slope? What does this mean about the relationship between the two categories?
Regression Questions
Create the linear regession equation in Excel. Include both the equation and the r2 value on the graph. Answer the following questions.
Answer:What is your regression equation? Explain what the equation means in relation to the categories.
Answer:What is your r2 value? Is this a strong correlation? Why or Why not?
Answer:Based on all the information you have, can you make any conclusions about your two categories? If so, what conclusions can you make? If not, why not?
Analysis
Right click on the regression equation and select "Format Trendline". Explore the different variations of regression equations.
Answer:How would you determine which equation had the best relationship?
Answer:Was the "Linear" option the optimal option? If so, why? If not, what was the better equation and why?
Attach your Scatter Plots and Regression Information. Make sure your X and Y axis are correctly labeled. You may use Screen Shots to do so.